<!DOCTYPE html>
<html>
<head>
	<meta charset="utf-8">
	<!-- 引入 ECharts 文件 -->
	<script src="echarts.js"></script>
	<!-- 为ECharts准备一个具备大小（宽高）的Dom -->
	<div id="main" style="width: 600px;height:400px;"></div>
	<script type="text/javascript">
		// 基于准备好的dom，初始化echarts实例
		var myChart = echarts.init(document.getElementById('main'));

		// 指定图表的配置项和数据

		var data = [
			{name: '海门', value: 9},
			{name: '鄂尔多斯', value: 12},
			{name: '招远', value: 12},
			{name: '舟山', value: 12},
			{name: '齐齐哈尔', value: 14},
			{name: '盐城', value: 15},
			{name: '赤峰', value: 16},
			{name: '青岛', value: 18},
			{name: '乳山', value: 18},
			{name: '金昌', value: 19},
			{name: '泉州', value: 21},
			{name: '莱西', value: 21},
			{name: '日照', value: 21},
			{name: '胶南', value: 22},
			{name: '南通', value: 23},
			{name: '拉萨', value: 24},
			{name: '云浮', value: 24},
			{name: '梅州', value: 25},
			{name: '文登', value: 25},
			{name: '上海', value: 25},
			{name: '攀枝花', value: 25},
			{name: '威海', value: 25},
			{name: '承德', value: 25},
			{name: '厦门', value: 26},
			{name: '汕尾', value: 26},
			{name: '潮州', value: 26},
			{name: '丹东', value: 27},
			{name: '太仓', value: 27},
			{name: '曲靖', value: 27},
			{name: '烟台', value: 28},
			{name: '福州', value: 29},
			{name: '瓦房店', value: 30},
			{name: '即墨', value: 30},
			{name: '抚顺', value: 31},
			{name: '玉溪', value: 31},
			{name: '张家口', value: 31},
			{name: '阳泉', value: 31},
			{name: '莱州', value: 32},
			{name: '湖州', value: 32},
			{name: '汕头', value: 32},
			{name: '昆山', value: 33},
			{name: '宁波', value: 33},
			{name: '湛江', value: 33},
			{name: '揭阳', value: 34},
			{name: '荣成', value: 34},
			{name: '连云港', value: 35},
			{name: '葫芦岛', value: 35},
			{name: '常熟', value: 36},
			{name: '东莞', value: 36},
			{name: '河源', value: 36},
			{name: '淮安', value: 36},
			{name: '泰州', value: 36},
			{name: '南宁', value: 37},
			{name: '营口', value: 37},
			{name: '惠州', value: 37},
			{name: '江阴', value: 37},
			{name: '蓬莱', value: 37},
			{name: '韶关', value: 38},
			{name: '嘉峪关', value: 38},
			{name: '广州', value: 38},
			{name: '延安', value: 38},
			{name: '太原', value: 39},
			{name: '清远', value: 39},
			{name: '中山', value: 39},
			{name: '昆明', value: 39},
			{name: '寿光', value: 40},
			{name: '盘锦', value: 40},
			{name: '长治', value: 41},
			{name: '深圳', value: 41},
			{name: '珠海', value: 42},
			{name: '宿迁', value: 43},
			{name: '咸阳', value: 43},
			{name: '铜川', value: 44},
			{name: '平度', value: 44},
			{name: '佛山', value: 44},
			{name: '海口', value: 44},
			{name: '江门', value: 45},
			{name: '章丘', value: 45},
			{name: '肇庆', value: 46},
			{name: '大连', value: 47},
			{name: '临汾', value: 47},
			{name: '吴江', value: 47},
			{name: '石嘴山', value: 49},
			{name: '沈阳', value: 50},
			{name: '苏州', value: 50},
			{name: '茂名', value: 50},
			{name: '嘉兴', value: 51},
			{name: '长春', value: 51},
			{name: '胶州', value: 52},
			{name: '银川', value: 52},
			{name: '张家港', value: 52},
			{name: '三门峡', value: 53},
			{name: '锦州', value: 54},
			{name: '南昌', value: 54},
			{name: '柳州', value: 54},
			{name: '三亚', value: 54},
			{name: '自贡', value: 56},
			{name: '吉林', value: 56},
			{name: '阳江', value: 57},
			{name: '泸州', value: 57},
			{name: '西宁', value: 57},
			{name: '宜宾', value: 58},
			{name: '呼和浩特', value: 58},
			{name: '成都', value: 58},
			{name: '大同', value: 58},
			{name: '镇江', value: 59},
			{name: '桂林', value: 59},
			{name: '张家界', value: 59},
			{name: '宜兴', value: 59},
			{name: '北海', value: 60},
			{name: '西安', value: 61},
			{name: '金坛', value: 62},
			{name: '东营', value: 62},
			{name: '牡丹江', value: 63},
			{name: '遵义', value: 63},
			{name: '绍兴', value: 63},
			{name: '扬州', value: 64},
			{name: '常州', value: 64},
			{name: '潍坊', value: 65},
			{name: '重庆', value: 66},
			{name: '台州', value: 67},
			{name: '南京', value: 67},
			{name: '滨州', value: 70},
			{name: '贵阳', value: 71},
			{name: '无锡', value: 71},
			{name: '本溪', value: 71},
			{name: '克拉玛依', value: 72},
			{name: '渭南', value: 72},
			{name: '马鞍山', value: 72},
			{name: '宝鸡', value: 72},
			{name: '焦作', value: 75},
			{name: '句容', value: 75},
			{name: '北京', value: 79},
			{name: '徐州', value: 79},
			{name: '衡水', value: 80},
			{name: '包头', value: 80},
			{name: '绵阳', value: 80},
			{name: '乌鲁木齐', value: 84},
			{name: '枣庄', value: 84},
			{name: '杭州', value: 84},
			{name: '淄博', value: 85},
			{name: '鞍山', value: 86},
			{name: '溧阳', value: 86},
			{name: '库尔勒', value: 86},
			{name: '安阳', value: 90},
			{name: '开封', value: 90},
			{name: '济南', value: 92},
			{name: '德阳', value: 93},
			{name: '温州', value: 95},
			{name: '九江', value: 96},
			{name: '邯郸', value: 98},
			{name: '临安', value: 99},
			{name: '兰州', value: 99},
			{name: '沧州', value: 100},
			{name: '临沂', value: 103},
			{name: '南充', value: 104},
			{name: '天津', value: 105},
			{name: '富阳', value: 106},
			{name: '泰安', value: 112},
			{name: '诸暨', value: 112},
			{name: '郑州', value: 113},
			{name: '哈尔滨', value: 114},
			{name: '聊城', value: 116},
			{name: '芜湖', value: 117},
			{name: '唐山', value: 119},
			{name: '平顶山', value: 119},
			{name: '邢台', value: 119},
			{name: '德州', value: 120},
			{name: '济宁', value: 120},
			{name: '荆州', value: 127},
			{name: '宜昌', value: 130},
			{name: '义乌', value: 132},
			{name: '丽水', value: 133},
			{name: '洛阳', value: 134},
			{name: '秦皇岛', value: 136},
			{name: '株洲', value: 143},
			{name: '石家庄', value: 147},
			{name: '莱芜', value: 148},
			{name: '常德', value: 152},
			{name: '保定', value: 153},
			{name: '湘潭', value: 154},
			{name: '金华', value: 157},
			{name: '岳阳', value: 169},
			{name: '长沙', value: 175},
			{name: '衢州', value: 177},
			{name: '廊坊', value: 193},
			{name: '菏泽', value: 194},
			{name: '合肥', value: 229},
			{name: '武汉', value: 273},
			{name: '大庆', value: 279}
		];

		var geoCoordMap = {
			'海门':[121.15,31.89],
			'鄂尔多斯':[109.781327,39.608266],
			'招远':[120.38,37.35],
			'舟山':[122.207216,29.985295],
			'齐齐哈尔':[123.97,47.33],
			'盐城':[120.13,33.38],
			'赤峰':[118.87,42.28],
			'青岛':[120.33,36.07],
			'乳山':[121.52,36.89],
			'金昌':[102.188043,38.520089],
			'泉州':[118.58,24.93],
			'莱西':[120.53,36.86],
			'日照':[119.46,35.42],
			'胶南':[119.97,35.88],
			'南通':[121.05,32.08],
			'拉萨':[91.11,29.97],
			'云浮':[112.02,22.93],
			'梅州':[116.1,24.55],
			'文登':[122.05,37.2],
			'上海':[121.48,31.22],
			'攀枝花':[101.718637,26.582347],
			'威海':[122.1,37.5],
			'承德':[117.93,40.97],
			'厦门':[118.1,24.46],
			'汕尾':[115.375279,22.786211],
			'潮州':[116.63,23.68],
			'丹东':[124.37,40.13],
			'太仓':[121.1,31.45],
			'曲靖':[103.79,25.51],
			'烟台':[121.39,37.52],
			'福州':[119.3,26.08],
			'瓦房店':[121.979603,39.627114],
			'即墨':[120.45,36.38],
			'抚顺':[123.97,41.97],
			'玉溪':[102.52,24.35],
			'张家口':[114.87,40.82],
			'阳泉':[113.57,37.85],
			'莱州':[119.942327,37.177017],
			'湖州':[120.1,30.86],
			'汕头':[116.69,23.39],
			'昆山':[120.95,31.39],
			'宁波':[121.56,29.86],
			'湛江':[110.359377,21.270708],
			'揭阳':[116.35,23.55],
			'荣成':[122.41,37.16],
			'连云港':[119.16,34.59],
			'葫芦岛':[120.836932,40.711052],
			'常熟':[120.74,31.64],
			'东莞':[113.75,23.04],
			'河源':[114.68,23.73],
			'淮安':[119.15,33.5],
			'泰州':[119.9,32.49],
			'南宁':[108.33,22.84],
			'营口':[122.18,40.65],
			'惠州':[114.4,23.09],
			'江阴':[120.26,31.91],
			'蓬莱':[120.75,37.8],
			'韶关':[113.62,24.84],
			'嘉峪关':[98.289152,39.77313],
			'广州':[113.23,23.16],
			'延安':[109.47,36.6],
			'太原':[112.53,37.87],
			'清远':[113.01,23.7],
			'中山':[113.38,22.52],
			'昆明':[102.73,25.04],
			'寿光':[118.73,36.86],
			'盘锦':[122.070714,41.119997],
			'长治':[113.08,36.18],
			'深圳':[114.07,22.62],
			'珠海':[113.52,22.3],
			'宿迁':[118.3,33.96],
			'咸阳':[108.72,34.36],
			'铜川':[109.11,35.09],
			'平度':[119.97,36.77],
			'佛山':[113.11,23.05],
			'海口':[110.35,20.02],
			'江门':[113.06,22.61],
			'章丘':[117.53,36.72],
			'肇庆':[112.44,23.05],
			'大连':[121.62,38.92],
			'临汾':[111.5,36.08],
			'吴江':[120.63,31.16],
			'石嘴山':[106.39,39.04],
			'沈阳':[123.38,41.8],
			'苏州':[120.62,31.32],
			'茂名':[110.88,21.68],
			'嘉兴':[120.76,30.77],
			'长春':[125.35,43.88],
			'胶州':[120.03336,36.264622],
			'银川':[106.27,38.47],
			'张家港':[120.555821,31.875428],
			'三门峡':[111.19,34.76],
			'锦州':[121.15,41.13],
			'南昌':[115.89,28.68],
			'柳州':[109.4,24.33],
			'三亚':[109.511909,18.252847],
			'自贡':[104.778442,29.33903],
			'吉林':[126.57,43.87],
			'阳江':[111.95,21.85],
			'泸州':[105.39,28.91],
			'西宁':[101.74,36.56],
			'宜宾':[104.56,29.77],
			'呼和浩特':[111.65,40.82],
			'成都':[104.06,30.67],
			'大同':[113.3,40.12],
			'镇江':[119.44,32.2],
			'桂林':[110.28,25.29],
			'张家界':[110.479191,29.117096],
			'宜兴':[119.82,31.36],
			'北海':[109.12,21.49],
			'西安':[108.95,34.27],
			'金坛':[119.56,31.74],
			'东营':[118.49,37.46],
			'牡丹江':[129.58,44.6],
			'遵义':[106.9,27.7],
			'绍兴':[120.58,30.01],
			'扬州':[119.42,32.39],
			'常州':[119.95,31.79],
			'潍坊':[119.1,36.62],
			'重庆':[106.54,29.59],
			'台州':[121.420757,28.656386],
			'南京':[118.78,32.04],
			'滨州':[118.03,37.36],
			'贵阳':[106.71,26.57],
			'无锡':[120.29,31.59],
			'本溪':[123.73,41.3],
			'克拉玛依':[84.77,45.59],
			'渭南':[109.5,34.52],
			'马鞍山':[118.48,31.56],
			'宝鸡':[107.15,34.38],
			'焦作':[113.21,35.24],
			'句容':[119.16,31.95],
			'北京':[116.46,39.92],
			'徐州':[117.2,34.26],
			'衡水':[115.72,37.72],
			'包头':[110,40.58],
			'绵阳':[104.73,31.48],
			'乌鲁木齐':[87.68,43.77],
			'枣庄':[117.57,34.86],
			'杭州':[120.19,30.26],
			'淄博':[118.05,36.78],
			'鞍山':[122.85,41.12],
			'溧阳':[119.48,31.43],
			'库尔勒':[86.06,41.68],
			'安阳':[114.35,36.1],
			'开封':[114.35,34.79],
			'济南':[117,36.65],
			'德阳':[104.37,31.13],
			'温州':[120.65,28.01],
			'九江':[115.97,29.71],
			'邯郸':[114.47,36.6],
			'临安':[119.72,30.23],
			'兰州':[103.73,36.03],
			'沧州':[116.83,38.33],
			'临沂':[118.35,35.05],
			'南充':[106.110698,30.837793],
			'天津':[117.2,39.13],
			'富阳':[119.95,30.07],
			'泰安':[117.13,36.18],
			'诸暨':[120.23,29.71],
			'郑州':[113.65,34.76],
			'哈尔滨':[126.63,45.75],
			'聊城':[115.97,36.45],
			'芜湖':[118.38,31.33],
			'唐山':[118.02,39.63],
			'平顶山':[113.29,33.75],
			'邢台':[114.48,37.05],
			'德州':[116.29,37.45],
			'济宁':[116.59,35.38],
			'荆州':[112.239741,30.335165],
			'宜昌':[111.3,30.7],
			'义乌':[120.06,29.32],
			'丽水':[119.92,28.45],
			'洛阳':[112.44,34.7],
			'秦皇岛':[119.57,39.95],
			'株洲':[113.16,27.83],
			'石家庄':[114.48,38.03],
			'莱芜':[117.67,36.19],
			'常德':[111.69,29.05],
			'保定':[115.48,38.85],
			'湘潭':[112.91,27.87],
			'金华':[119.64,29.12],
			'岳阳':[113.09,29.37],
			'长沙':[113,28.21],
			'衢州':[118.88,28.97],
			'廊坊':[116.7,39.53],
			'菏泽':[115.480656,35.23375],
			'合肥':[117.27,31.86],
			'武汉':[114.31,30.52],
			'大庆':[125.03,46.58]
		};

		var convertData = function (data) {
			var res = [];
			for (var i = 0; i < data.length; i++) {
				var geoCoord = geoCoordMap[data[i].name];
				if (geoCoord) {
					res.push({
						name: data[i].name,
						value: geoCoord.concat(data[i].value)
					});
				}
			}
			return res;
		};

		function renderItem(params, api) {
			var coords = [
				[116.7,39.53],
				[103.73,36.03],
				[112.91,27.87],
				[120.65,28.01],
				[119.57,39.95]
			];
			var points = [];
			for (var i = 0; i < coords.length; i++) {
				points.push(api.coord(coords[i]));
			}
			var color = api.visual('color');

			return {
				type: 'polygon',
				shape: {
					points: echarts.graphic.clipPointsByRect(points, {
						x: params.coordSys.x,
						y: params.coordSys.y,
						width: params.coordSys.width,
						height: params.coordSys.height
					})
				},
				style: api.style({
					fill: color,
					stroke: echarts.color.lift(color)
				})
			};
		}

		option = {
			// backgroundColor: '#404a59',
			title: {
				text: '全国主要城市空气质量',
				subtext: 'data from PM25.in',
				sublink: 'http://www.pm25.in',
				left: 'center',
				textStyle: {
					color: '#fff'
				}
			},
			tooltip : {
				trigger: 'item'
			},
			bmap: {
				center: [104.114129, 37.550339],
				zoom: 5,
				roam: true,
				mapStyle: {
					styleJson: [
						{
							"featureType": "water",
							"elementType": "all",
							"stylers": {
								"color": "#044161"
							}
						},
						{
							"featureType": "land",
							"elementType": "all",
							"stylers": {
								"color": "#004981"
							}
						},
						{
							"featureType": "boundary",
							"elementType": "geometry",
							"stylers": {
								"color": "#064f85"
							}
						},
						{
							"featureType": "railway",
							"elementType": "all",
							"stylers": {
								"visibility": "off"
							}
						},
						{
							"featureType": "highway",
							"elementType": "geometry",
							"stylers": {
								"color": "#004981"
							}
						},
						{
							"featureType": "highway",
							"elementType": "geometry.fill",
							"stylers": {
								"color": "#005b96",
								"lightness": 1
							}
						},
						{
							"featureType": "highway",
							"elementType": "labels",
							"stylers": {
								"visibility": "off"
							}
						},
						{
							"featureType": "arterial",
							"elementType": "geometry",
							"stylers": {
								"color": "#004981"
							}
						},
						{
							"featureType": "arterial",
							"elementType": "geometry.fill",
							"stylers": {
								"color": "#00508b"
							}
						},
						{
							"featureType": "poi",
							"elementType": "all",
							"stylers": {
								"visibility": "off"
							}
						},
						{
							"featureType": "green",
							"elementType": "all",
							"stylers": {
								"color": "#056197",
								"visibility": "off"
							}
						},
						{
							"featureType": "subway",
							"elementType": "all",
							"stylers": {
								"visibility": "off"
							}
						},
						{
							"featureType": "manmade",
							"elementType": "all",
							"stylers": {
								"visibility": "off"
							}
						},
						{
							"featureType": "local",
							"elementType": "all",
							"stylers": {
								"visibility": "off"
							}
						},
						{
							"featureType": "arterial",
							"elementType": "labels",
							"stylers": {
								"visibility": "off"
							}
						},
						{
							"featureType": "boundary",
							"elementType": "geometry.fill",
							"stylers": {
								"color": "#029fd4"
							}
						},
						{
							"featureType": "building",
							"elementType": "all",
							"stylers": {
								"color": "#1a5787"
							}
						},
						{
							"featureType": "label",
							"elementType": "all",
							"stylers": {
								"visibility": "off"
							}
						}
					]
				}
			},
			series : [
				{
					name: 'pm2.5',
					type: 'scatter',
					coordinateSystem: 'bmap',
					data: convertData(data),
					symbolSize: function (val) {
						return val[2] / 10;
					},
					label: {
						normal: {
							formatter: '{b}',
							position: 'right',
							show: false
						},
						emphasis: {
							show: true
						}
					},
					itemStyle: {
						normal: {
							color: '#ddb926'
						}
					}
				},
				{
					name: 'Top 5',
					type: 'effectScatter',
					coordinateSystem: 'bmap',
					data: convertData(data.sort(function (a, b) {
						return b.value - a.value;
					}).slice(0, 6)),
					symbolSize: function (val) {
						return val[2] / 10;
					},
					showEffectOn: 'emphasis',
					rippleEffect: {
						brushType: 'stroke'
					},
					hoverAnimation: true,
					label: {
						normal: {
							formatter: '{b}',
							position: 'right',
							show: true
						}
					},
					itemStyle: {
						normal: {
							color: '#f4e925',
							shadowBlur: 10,
							shadowColor: '#333'
						}
					},
					zlevel: 1
				},
				{
					type: 'custom',
					coordinateSystem: 'bmap',
					renderItem: renderItem,
					itemStyle: {
						normal: {
							opacity: 0.5
						}
					},
					animation: false,
					silent: true,
					data: [0],
					z: -10
				}
			]
		};


	</script>
</head>
</html>
